Vemu, S.
* 2012: Sediment Yield Estimation And Prioritization Of Watershed Using Remote Sensing and GIS
Vemula, M.[Mahesh]
* 2007: Target tracking by fusion of random measures
Vemula, R.
* 2012: Probabilistic Detection of Morphologic Indicators for Beach Segmentation With Multitemporal LiDAR Measurements
Vemula, R.K.[Raghav K.]
* 2007: Shoreline Based Feature Extraction and Optimal Feature Selection for Segmenting Airborne LiDAR Intensity Images
Vemulapalli, P.K.[Pramod K.]
* 2013: Robust Extrema Features for Time-Series Data Analysis
Vemulapalli, R.[Raviteja]
* 2009: Spatio-temporal nonparametric background modeling and subtraction
* 2013: Kernel Learning for Extrinsic Classification of Manifold Features
* 2014: Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
* 2015: Unsupervised Cross-Modal Synthesis of Subject-Specific Scans
* 2016: Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising
* 2016: Explicit discriminative representation for improved classification of manifold features
* 2016: Gaussian Conditional Random Field Network for Semantic Segmentation
* 2016: R3DG features: Relative 3D geometry-based skeletal representations for human action recognition
* 2016: Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data
* 2018: Frame-Recurrent Video Super-Resolution
* 2019: Compact Embedding for Facial Expression Similarity, A
* 2020: Search to Distill: Pearls Are Everywhere but Not the Eyes
* 2021: Contrastive Learning for Label Efficient Semantic Segmentation
Includes: Vemulapalli, R.[Raviteja] Vemulapalli, R.
13 for Vemulapalli, R.
Vemulapalli, S.
* 2005: Molecular imaging of small animals with a triple-head SPECT system using pinhole collimation
Vemulapati, R.[Ramanaprasad]
* 2004: Tools for enabling digital access to multi-lingual Indic documents
Vemuri, B.[Baba]
* 2013: Special Section in Celebration of Professor J.K. Aggarwal
Vemuri, B.C.[Baba C.]
* 1983: Image analysis of solid-liquid interface morphology in freezing solutions
* 1984: 3-D Reconstruction of Objects from Range Data
* 1984: Model for Characterizing the Motion of the Solid-Liquid Interface in Freezing Solutions, A
* 1986: 3-D Model Construction from Multiple Views Using Range and Intensity Data
* 1986: Curvature-Based Representation of Objects From Range Data
* 1987: 3-D Object Representation from Range Data Using Intrinsic Surface Properties
* 1987: Representation and Recognition of Objects from Dense Range Maps
* 1987: Representation and Recognition of Objects from Depth Maps
* 1987: Resolving the Orientation and Identity of an Object from Range Data
* 1988: Localization of Objects from Range Data
* 1991: Deformable Models: Canonical Parameters for Surface Representation and Multiple View Integration
* 1991: Geometric Methods in Computer Vision
* 1991: On Three-Dimensional Surface Reconstruction Methods
* 1991: Surface and Motion Estimation from Sparse Range Data
* 1992: Constrained Implicit Function Fitting
* 1992: Invariant Surface and Motion Estimation from Sparse Range Data
* 1992: Special Issue Introduction Range image understanding
* 1992: Surface Griding with Intrinsic Parameters
* 1993: Construction Intrinsic Parameters with Active Models for Invariant Surface Reconstruction
* 1993: From Global to Local, a Continuum of Shape Models with Fractal Priors
* 1993: Geometric Methods in Computer Vision II
* 1993: Intrinsic Parameters for Surface Representation Using Deformable Models
* 1994: Evolutionary Fronts for Topology-Independent Shape Modeling and Recovery
* 1994: Multiresolution Stochastic Hybrid Shape Models with Fractal Priors
* 1994: O(N) Iterative Solution to the Poisson Equation in Low-Level Vision Problems, An
* 1995: Physically-Based and Adaptive Preconditioners for Early Vision
* 1995: Robust and Efficient Algorithms for Optical Flow Computation
* 1995: Shape Modeling with Front Propagation: A Level Set Approach
* 1996: Fast Level Set Based Algorithm For Topology-Independent Shape Modeling, A
* 1997: Physically-Based Adaptive Preconditioning for Early Vision
* 1998: Coupled PDE Model of Nonlinear Diffusion for Image Smoothing and Segmentation, A
* 1998: Efficient and Accurate Collision Detection for Granular Flow Simulation
* 1998: Reliable and Efficient Computation of Optical Flow
* 1998: Shape Recovery Using Dynamic Subdivision Surfaces
* 1998: Snake Pedals: Geometric Models with Physics-Based Control
* 1999: Efficient hybrid search for visual reconstruction problems
* 2000: MPM-MAP Algorithm for Image Segmentation, The
* 2000: Multimodal Image Registration Using Local Frequency
* 2000: Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control
* 2001: Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery
* 2001: Fiber Tract Mapping from Diffusion Tensor MRI
* 2002: Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI, An
* 2002: Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI, An
* 2002: Efficient multi-modal image registration using local-frequency maps
* 2002: Local frequency representations for robust multimodal image registration
* 2002: Registration Assisted Image Smoothing and Segmentation
* 2003: Cumulative residual entropy, a new measure of information and its application to image alignment
* 2003: Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI
* 2004: affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation, An
* 2004: Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field From Complex DWI, A
* 2004: Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from high angular resolution DWI
* 2004: MPM-MAP algorithm for motion segmentation, The
* 2004: Tensor Field Segmentation Using Region Based Active Contour Model
* 2005: DTI Segmentation Using an Information Theoretic Tensor Dissimilarity Measure
* 2005: Efficient Shape Indexing Using an Information Theoretic Representation
* 2005: Robust Algorithm for Point Set Registration Using Mixture of Gaussians, A
* 2005: Using the KL-Center for Efficient and Accurate Retrieval of Distributions Arising from Texture Images
* 2006: Conic Section Classifier and its Application to Image Datasets, A
* 2006: Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
* 2006: Robust Tensor Splines for Approximation of Diffusion Tensor MRI Data
* 2006: Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures
* 2007: Anisotropic alpha-Kernels and Associated Flows
* 2007: Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry
* 2007: Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
* 2007: Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces, A
* 2007: Metric Learning Using Iwasawa Decomposition
* 2007: New Affine Registration Algorithm for Matching 2D Point Sets, A
* 2007: Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy
* 2007: Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification
* 2007: Tensor Splines for Interpolation and Approximation of DT-MRI With Applications to Segmentation of Isolated Rat Hippocampi
* 2007: Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI, A
* 2007: USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
* 2008: Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines
* 2008: Efficient anisotropic alpha-Kernels decompositions and flows
* 2008: Image segmentation via convolution of a level-set function with a Rigaut Kernel
* 2008: Information Theoretic Methods for Diffusion-Weighted MRI Analysis
* 2008: Large margin pursuit for a Conic Section classifier
* 2008: Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions
* 2008: Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction
* 2009: Color Image Segmentation in a Quaternion Framework
* 2009: Complex diffusion on image graphs
* 2009: Complex Diffusion on Scalar and Vector Valued Image Graphs
* 2009: Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel
* 2009: Volterrafaces: Discriminant analysis using Volterra kernels
* 2010: Anisotropic alpha-Kernels and Associated Flows
* 2010: Eigenbubbles: An Enhanced Apparent BRDF Representation
* 2010: Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence
* 2010: Image atlas construction via intrinsic averaging on the manifold of images
* 2010: Total Bregman divergence and its applications to shape retrieval
* 2011: Maximizing all margins: Pushing face recognition with Kernel Plurality
* 2011: Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines
* 2011: Quaternion Framework for Color Image Smoothing and Segmentation, A
* 2011: Robust and efficient regularized boosting using total Bregman divergence
* 2011: Robust Point Set Registration Using Gaussian Mixture Models
* 2011: Total Bregman Divergence and Its Applications to DTI Analysis
* 2012: Approximating Symmetric Positive Semidefinite Tensors of Even Order
* 2012: Efficient Interlaced Multi-Shell Sampling Scheme for Reconstruction of Diffusion Propagators, An
* 2012: Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation
* 2012: Jensen divergence based SPD matrix means and applications
* 2012: Robust and Efficient Doubly Regularized Metric Learning Approach, A
* 2012: Shape Retrieval Using Hierarchical Total Bregman Soft Clustering
* 2012: Trainable Convolution Filters and Their Application to Face Recognition
* 2013: Computing Diffeomorphic Paths for Large Motion Interpolation
* 2013: Multiple Atlas Construction from a Heterogeneous Brain MR Image Collection
* 2013: Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking, A
* 2013: Recursive Estimation of the Stein Center of SPD Matrices and Its Applications
* 2014: Canonical Correlation Analysis on Riemannian Manifolds and Its Applications
* 2014: Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform, A
* 2014: Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI
* 2015: Interpolation on the Manifold of K Component GMMs
* 2015: Recursive Frichet Mean Computation on the Grassmannian and Its Applications to Computer Vision
* 2015: Tractography From HARDI Using an Intrinsic Unscented Kalman Filter
* 2016: Covariant Image Representation with Applications to Classification Problems in Medical Imaging
* 2016: Efficient Exact-PGA Algorithm for Constant Curvature Manifolds, An
* 2016: Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis, A
* 2017: Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans, A
* 2017: Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
* 2017: Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging
* 2017: Sparse Exact PGA on Riemannian Manifolds
* 2017: Statistical analysis of longitudinal data and applications to neuro-imaging
* 2018: Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers, A
* 2021: Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning
* 2022: ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications
* 2022: Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
* 2022: VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds
Includes: Vemuri, B.C.[Baba C.] Vemuri, B.C.
125 for Vemuri, B.C.
Vemuri, K.[Kavita]
* 2016: Do normal pupil diameter differences in the population underlie the color selection of #thedress?
Vemuri, K.S.S.[Kumar S. S.]
* 2009: Adaptive Partitioning of Vertex Shader for Low Power High Performance Geometry Engine
Vemuri, R.
* 2000: Analysis on the Effect of Image Features on Lossy Coding Performance, An
* 2000: Multimedia Image Coding Using Adaptive Integer-to-Integer Wavelet Transforms
Includes: Vemuri, R. Vemuri, R.[Rao]
Vemuri, S.
* 1987: Image Sequence Segmentation Using Motion Coherence
* 1988: Feature Point Matching in Image Sequences
* 1996: Novel Approach to Represent 3-D Isothetic Scenes Using XYZ Trees, A
Vemuri, V.K.[Vinay Krishna]
* 2015: Smartphone based visible iris recognition using deep sparse filtering